Inland lake water phycocyanobilin concentration remote sensing inversion model and method based on gradient lifting algorithm
The invention provides an inland lake water body phycocyanobilin concentration remote sensing inversion model based on a gradient boosting algorithm, the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient boosting algorithm is a gradient boostin...
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| creator | WANG WEI LI ZHUO WU YINGYING JIANG XIAOJIAN YANG WENJIE REN HAIFANG ZHU YUANLI |
| description | The invention provides an inland lake water body phycocyanobilin concentration remote sensing inversion model based on a gradient boosting algorithm, the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient boosting algorithm is a gradient boosting regression model of a Python language, and model parameters of the gradient boosting regression model are further provided. The invention further provides an inland lake water phycocyanobilin concentration remote sensing inversion method based on the gradient lifting algorithm. According to the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient lifting algorithm, calculation result errors can be reduced, the accuracy of the inversion model of the water body phycocyanobilin concentration can be improved, the design is ingenious, calculation is easy and convenient, implementation is easy, cost is low, and the model is suitable for large-scale application and po |
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The invention further provides an inland lake water phycocyanobilin concentration remote sensing inversion method based on the gradient lifting algorithm. According to the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient lifting algorithm, calculation result errors can be reduced, the accuracy of the inversion model of the water body phycocyanobilin concentration can be improved, the design is ingenious, calculation is easy and convenient, implementation is easy, cost is low, and the model is suitable for large-scale application and po</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240123&DB=EPODOC&CC=CN&NR=117434009A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240123&DB=EPODOC&CC=CN&NR=117434009A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>LI ZHUO</creatorcontrib><creatorcontrib>WU YINGYING</creatorcontrib><creatorcontrib>JIANG XIAOJIAN</creatorcontrib><creatorcontrib>YANG WENJIE</creatorcontrib><creatorcontrib>REN HAIFANG</creatorcontrib><creatorcontrib>ZHU YUANLI</creatorcontrib><title>Inland lake water phycocyanobilin concentration remote sensing inversion model and method based on gradient lifting algorithm</title><description>The invention provides an inland lake water body phycocyanobilin concentration remote sensing inversion model based on a gradient boosting algorithm, the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient boosting algorithm is a gradient boosting regression model of a Python language, and model parameters of the gradient boosting regression model are further provided. The invention further provides an inland lake water phycocyanobilin concentration remote sensing inversion method based on the gradient lifting algorithm. According to the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient lifting algorithm, calculation result errors can be reduced, the accuracy of the inversion model of the water body phycocyanobilin concentration can be improved, the design is ingenious, calculation is easy and convenient, implementation is easy, cost is low, and the model is suitable for large-scale application and po</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjTEKwkAQRdNYiHqH8QBCQgJiKUHRxso-THbHZHF3JuwOSgrvbgIewOoX7__3l9nnyh7ZgscnwRuVIgz9aMSMyNI67xiMsCHWiOqEIVIQJUjEyXEHjl8U0wyCWPIwuwJpLxZaTGRhIl1E6yYDePfQeYS-k-i0D-ts8UCfaPPLVbY9n-71ZUeDNJQGnI5Jm_pWFPuqrPL8cCz_6XwB4N5JGQ</recordid><startdate>20240123</startdate><enddate>20240123</enddate><creator>WANG WEI</creator><creator>LI ZHUO</creator><creator>WU YINGYING</creator><creator>JIANG XIAOJIAN</creator><creator>YANG WENJIE</creator><creator>REN HAIFANG</creator><creator>ZHU YUANLI</creator><scope>EVB</scope></search><sort><creationdate>20240123</creationdate><title>Inland lake water phycocyanobilin concentration remote sensing inversion model and method based on gradient lifting algorithm</title><author>WANG WEI ; LI ZHUO ; WU YINGYING ; JIANG XIAOJIAN ; YANG WENJIE ; REN HAIFANG ; ZHU YUANLI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117434009A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>LI ZHUO</creatorcontrib><creatorcontrib>WU YINGYING</creatorcontrib><creatorcontrib>JIANG XIAOJIAN</creatorcontrib><creatorcontrib>YANG WENJIE</creatorcontrib><creatorcontrib>REN HAIFANG</creatorcontrib><creatorcontrib>ZHU YUANLI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG WEI</au><au>LI ZHUO</au><au>WU YINGYING</au><au>JIANG XIAOJIAN</au><au>YANG WENJIE</au><au>REN HAIFANG</au><au>ZHU YUANLI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Inland lake water phycocyanobilin concentration remote sensing inversion model and method based on gradient lifting algorithm</title><date>2024-01-23</date><risdate>2024</risdate><abstract>The invention provides an inland lake water body phycocyanobilin concentration remote sensing inversion model based on a gradient boosting algorithm, the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient boosting algorithm is a gradient boosting regression model of a Python language, and model parameters of the gradient boosting regression model are further provided. The invention further provides an inland lake water phycocyanobilin concentration remote sensing inversion method based on the gradient lifting algorithm. According to the inland lake water body phycocyanobilin concentration remote sensing inversion model based on the gradient lifting algorithm, calculation result errors can be reduced, the accuracy of the inversion model of the water body phycocyanobilin concentration can be improved, the design is ingenious, calculation is easy and convenient, implementation is easy, cost is low, and the model is suitable for large-scale application and po</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING |
| title | Inland lake water phycocyanobilin concentration remote sensing inversion model and method based on gradient lifting algorithm |
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